1 code implementation • 20 Nov 2023 • Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Huanhuan Chen
Causal discovery from observational data is pivotal for deciphering complex relationships.
1 code implementation • 1 Aug 2023 • Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou
The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem with broad real-world applications.
no code implementations • 29 Jun 2023 • Taiyu Ban, Lyvzhou Chen, Xiangyu Wang, Huanhuan Chen
In this paper, we advance the current research of LLM-driven causal discovery by proposing a novel framework that combines knowledge-based LLM causal analysis with data-driven causal structure learning.
no code implementations • 12 Jun 2023 • Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen
LLM presents strong capability in discovering causal relationships between variables with the "text" inputs defining the investigated variables, leading to a potential new hierarchy and new ladder of causality.
no code implementations • 25 Nov 2022 • Ao Chen, Xiren Zhou, Yizhan Fan, Huanhuan Chen
In this paper, a GPR B-scan image diagnosis method based on learning in the model space is proposed.
no code implementations • 21 Oct 2022 • Xiren Zhou, Shikang Liu, Ao Chen, Yizhan Fan, Huanhuan Chen
In this paper, a novel method is proposed to improve the subsurface anomaly detection from GPR B-scan images.
no code implementations • 22 Aug 2022 • Rui Wang, Xingkai Wang, Huanhuan Chen, Jérémie Decouchant, Stjepan Picek, Nikolaos Laoutaris, Kaitai Liang
It is therefore currently impossible to ensure Byzantine robustness and confidentiality of updates without assuming a semi-honest majority.
no code implementations • 25 Jan 2022 • Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen
On the basis of the established coordinate system and the derived points on the cable, the clustering method and cable fitting algorithm based on Gaussian-process regression are proposed to find the most likely locations of the underground cables.
no code implementations • 25 Jan 2022 • Xiren Zhou, Qiuju Chen, Shengfei Lyu, Huanhuan Chen
By minimizing the sum of the algebraic distances from the extracted point set to the inverted ellipse, the most likely pipeline's direction and radius are determined.
no code implementations • dialdoc (ACL) 2022 • Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen
With the advances in deep learning, tremendous progress has been made with chit-chat dialogue systems and task-oriented dialogue systems.
no code implementations • 22 Sep 2021 • Yuanguo Lin, Yong liu, Fan Lin, Lixin Zou, Pengcheng Wu, Wenhua Zeng, Huanhuan Chen, Chunyan Miao
To understand the challenges and relevant solutions, there should be a reference for researchers and practitioners working on RL-based recommender systems.
no code implementations • 3 Jun 2021 • Buliao Huang, Yunhui Zhu, Muhammad Usman, Huanhuan Chen
SSCFlow explicitly utilizes the label information to facilitate the imputation and classification simultaneously by estimating the conditional distribution of incomplete instances with a novel semi-supervised normalizing flow.
1 code implementation • 19 May 2021 • Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen
Deep neural networks such as BERT have made great progress in relation classification.
no code implementations • Findings (ACL) 2021 • Shengfei Lyu, Huanhuan Chen
Specially, the mutual restrictions of relations and entity types are formalized and introduced into relation classification.
Ranked #6 on Relation Extraction on TACRED
no code implementations • 14 Apr 2021 • Weijie Zheng, Qiaozhi Zhang, Huanhuan Chen, Xin Yao
However, only two elitist algorithms (1+1)EA and ($\mu$+1)EA are analyzed, and it is unknown whether the non-elitism mechanism could help to escape the local optima existed in OneMax$_{(0, 1^n)}$.
no code implementations • 25 Dec 2020 • Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao
However, when a query is complex, developers need to repeatedly refine the search keywords and open a large number of web pages to find and summarize answers.
no code implementations • 15 Dec 2020 • Peng Zhang, Jinlong Li, Tengfei Li, Huanhuan Chen
To handle different types of Many-Objective Optimization Problems (MaOPs), Many-Objective Evolutionary Algorithms (MaOEAs) need to simultaneously maintain convergence and population diversity in the high-dimensional objective space.
no code implementations • 14 Dec 2020 • Lei LI, Minghe Xue, Huanhuan Chen, Xindong Wu
As from time to time it is impractical to ask agents to provide linear orders over all alternatives, for these partial rankings it is necessary to conduct preference completion.
no code implementations • 9 Nov 2020 • Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
Analyzing these mechanisms, we provide the theoretical property of common causal variables, based on which the discovery and distinguishing algorithm is designed to identify these two types of variables.
no code implementations • 21 Oct 2020 • Xinyan Zhao, LiangWei Chen, Huanhuan Chen
Most research on disease diagnosis dialogue systems highly rely on data-driven methods and statistical features, lacking profound comprehension of symptom-disease relations and symptom-symptom relations.
no code implementations • 8 Sep 2020 • Caijun Ren, Xiangyu Wang, Jian Gao, Huanhuan Chen
Detecting changed regions in paired satellite images plays a key role in many remote sensing applications.
1 code implementation • 19 Aug 2020 • Ziqiang Li, Muhammad Usman, Rentuo Tao, Pengfei Xia, Chaoyue Wang, Huanhuan Chen, Bin Li
Although a handful number of regularization and normalization methods have been proposed for GANs, to the best of our knowledge, there exists no comprehensive survey that primarily focuses on objectives and development of these methods, apart from some in-comprehensive and limited scope studies.
no code implementations • 30 Jun 2020 • Xinyan Zhao, Xiao Feng, Haoming Zhong, Jun Yao, Huanhuan Chen
CAR-Transformer (1) revises each condition value based on the whole conversation and original conditions values, and (2) it encodes the revised conditions and utilizes the conditions embedding to select an answer.
no code implementations • 30 Jun 2020 • Haiwei Huang, Jinlong Li, Huimin He, Huanhuan Chen
Network embedding is a very important method for network data.
no code implementations • 29 Jun 2020 • Shengfei Lyu, Xing Tian, Yang Li, Bingbing Jiang, Huanhuan Chen
The probabilistic classification vector machine (PCVM) synthesizes the advantages of both the support vector machine and the relevant vector machine, delivering a sparse Bayesian solution to classification problems.
no code implementations • 26 Apr 2020 • Weijie Zheng, Huanhuan Chen, Xin Yao
In real-world applications, many optimization problems have the time-linkage property, that is, the objective function value relies on the current solution as well as the historical solutions.
no code implementations • 27 Dec 2019 • Weibo Shu, Yaqiang Yao, Shengfei Lyu, Jinlong Li, Huanhuan Chen
In the research area of time series classification, the ensemble shapelet transform algorithm is one of state-of-the-art algorithms for classification.
no code implementations • 30 Oct 2019 • Yijun Bian, Huanhuan Chen
To reveal the effect of diversity on the generalization of classification ensembles, we investigate three issues on diversity, i. e., the measurement of diversity, the relationship between the proposed diversity and the generalization error, and the utilization of this relationship for ensemble pruning.
1 code implementation • 1 Oct 2019 • Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu
Neural architecture search (NAS) is gaining more and more attention in recent years due to its flexibility and remarkable capability to reduce the burden of neural network design.
no code implementations • 4 Jun 2019 • Shengfei Lyu, Linghao Sun, Huixiong Yi, Yong liu, Huanhuan Chen, Chunyan Miao
In the process of translation, CAN obtain the attention matrices that align the two languages.
Low Resource Named Entity Recognition named-entity-recognition +4
no code implementations • 1 Nov 2018 • Yaqiang Yao, Huanhuan Chen
Despite the success of multiple kernel $k$-means clustering in various scenarios, few of the existing work update the combination coefficients based on the diversity of kernels, which leads to the result that the selected kernels contain high redundancy and would degrade the clustering performance and efficiency.
no code implementations • 1 Nov 2018 • Yaqiang Yao, Yan Liu, Huanhuan Chen
In this paper, we first design an efficient division method to decompose a manifold into ordered continuous maximal linear patches (CMLPs) that denote meaningful action snippets of the action sequence.
1 code implementation • 13 Jun 2018 • Yijun Bian, Yijun Wang, Yaqiang Yao, Huanhuan Chen
Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space.
no code implementations • 10 Feb 2018 • Junyuan Hong, Huanhuan Chen, Feng Lin
In this paper, we focus on subspace-based learning problems, where data elements are linear subspaces instead of vectors.
no code implementations • 3 Mar 2017 • Zhichen Gong, Huanhuan Chen
Thus DSW is able to yield alignment that is semantically more interpretable than that of DTW.
no code implementations • 18 Sep 2016 • Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen
The proposed method, called probabilistic feature selection and classification vector machine (PFCVMLP ), is able to simultaneously select relevant features and samples for classification tasks.